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5,738 results for “Standards”
Figure 14 in Discovery of a new species and host record of Holophryxus Richardson, 1905 (Isopoda: Dajidae) from the central Arctic: a model of enhanced descriptive standards for epicaridean isopods
Figure 14. Holophryxus citriformis sp. nov. Paratype, male: A, right pereopod 7 (P7), posterior view; B, dactylus of P7, posterior view; C, carpus of P7, showing sensory elements (a-d), posterior view; D, posterior margin of abdomen, ventral view; anal opening indicated by arrow. Scale bars in μm.
Figure 13 in Discovery of a new species and host record of Holophryxus Richardson, 1905 (Isopoda: Dajidae) from the central Arctic: a model of enhanced descriptive standards for epicaridean isopods
Figure 13. Holophryxus citriformis sp. nov. Paratype, male: A, right pereopod 5 (P5), posteromedial view; B, dactylus of P5, posterior view; C, right pereopod 6 (P6), anterior view; D, dactylus of P6, anterior view. Scale bars in μm.
Figure 10 in Discovery of a new species and host record of Holophryxus Richardson, 1905 (Isopoda: Dajidae) from the central Arctic: a model of enhanced descriptive standards for epicaridean isopods
Figure 10. Holophryxus citriformis sp. nov. Paratype, male: A, right antennule, anterior view; sensory elements indicated by arrows (CL = central lobe; IL = inner lobe; OL = outer lobe; SP = spinous projection); B-C, sensory elements of antennule; D, right antenna, anterior view. Scale bars in μm.
Figure 12 in Discovery of a new species and host record of Holophryxus Richardson, 1905 (Isopoda: Dajidae) from the central Arctic: a model of enhanced descriptive standards for epicaridean isopods
Figure 12. Holophryxus citriformis sp. nov. Paratype, male: A, right pereopod 3 (P3), posteromedial view; B, dactylus of P3, posteromedial view; C, posteromedial view of carpus showing sensory elements (a-e); D, right pereopod 4 (P4), posterior view; E, dactylus of P4, posterior view. Scale bars in μm.
Figure 9 in Discovery of a new species and host record of Holophryxus Richardson, 1905 (Isopoda: Dajidae) from the central Arctic: a model of enhanced descriptive standards for epicaridean isopods
Figure 9. Holophryxus citriformis sp. nov. Paratype, male: A, anterior margin of cephalon, ventral view showing raised pores; B, oral cone and right mandible (Lb = labrum, Lm = labium); C, gnathobases of mandibles; D, F, H, pleurotergites 1–3, ventral view; sensory setae indicated by arrows; E, G, I, sensory setae of pleurotergites 1–3. Scale bars in μm.
Figure 7 in Discovery of a new species and host record of Holophryxus Richardson, 1905 (Isopoda: Dajidae) from the central Arctic: a model of enhanced descriptive standards for epicaridean isopods
Figure 7. Holophryxus citriformis sp. nov. Paratype, male: A, habitus, dorsal view; B-E, pleurotergites 4–7, ventral view. Scale bars in μm.
Figure 6 in Discovery of a new species and host record of Holophryxus Richardson, 1905 (Isopoda: Dajidae) from the central Arctic: a model of enhanced descriptive standards for epicaridean isopods
Figure 6. Holophryxus citriformis sp. nov. Paratype, male, CLSM, ventral view: A, habitus; B, cephalon showing antennules, antennae and oral cone; C, close-up of oral cone and antennules; D, pereopod 4. Abbreviations: A1 = antennule, A2 = antenna, Lb = labrum, Lm = labium, Md = mandible, OC = oral cone. P1 = pereopod 1. Scale bars in μm.
Replication package for: Patent Hold-out and Licensing Frictions: Evidence from Litigation of Standard Essential Patents
<p>This replication package contains the data and the code to generate the results reported in "Patent Hold-out and Licensing Frictions: Evidence from Litigation of Standard Essential Patents" by Christian Helmers and Brian J. Love.</p>
Human Phenotype Ontology: Standardized Framework Cataloging Comprehensive Phenotypic Information
<p><strong>ABSTRACT:</strong></p> <p>The Human Phenotype Ontology (HPO) is a standardized and comprehensive framework that catalogs and organizes phenotypic information related to human diseases and genetic disorders. It provides a structured vocabulary of terms to describe observable traits and abnormalities associated with various medical conditions. This dataset showcases the Human Phenotype Ontology (HPO) by including HPO IDs, names, descriptions, and additional references. The HPO IDs serve as unique identifiers for specific phenotypes. The names provide concise labels for the phenotypic traits, while the descriptions offer detailed explanations of their characteristics. In addition to the essential information, the dataset includes references that further describe and support the understanding of diverse phenotypes. These references can be used to explore the scientific literature, studies, or clinical resources associated with each phenotype. By combining HPO IDs, names, descriptions, and references, the dataset offers a comprehensive overview of different phenotypes, facilitating research, diagnostics, and the exploration of genotype-phenotype relationships.</p> <p><strong>Instructions</strong>:</p> <p>The data was downloaded as an .obo file then converted to a .csv file. Unrelated columns were removed and a references column was added. </p> <p><strong>Acknowledgements</strong>:</p> <p><a>Sebastian Köhler</a>, <a>Michael Gargano</a>, <a>Nicolas Matentzoglu</a>, <a>Leigh C Carmody</a>, <a>David Lewis-Smith</a>, <a>Nicole A Vasilevsky</a>, <a>Daniel Danis</a>, <a>Ganna Balagura</a>, <a>Gareth Baynam</a>, <a>Amy M Brower</a>, </p> <p><a>Tiffany J Callahan</a>, <a>Christopher G Chute</a>, <a>Johanna L Est</a>, <a>Peter D Galer</a>, <a>Shiva Ganesan</a>, <a>Matthias Griese</a>, <a>Matthias Haimel</a>, <a>Julia Pazmandi</a>, <a>Marc Hanauer</a>, <a>Nomi L Harris</a>, <a>Michael J Hartnett</a>, <a>Maximilian Hastreiter</a>, <a>Fabian Hauck</a>, <a>Yongqun He</a>, <a>Tim Jeske</a>, <a>Hugh Kearney</a>, <a>Gerhard Kindle</a>, <a>Christoph Klein</a>, <a>Katrin Knoflach</a>, <a>Roland Krause</a>, <a>David Lagorce</a>, <a>Julie A McMurry</a>, <a>Jillian A Miller</a>, <a>Monica C Munoz-Torres</a>, <a>Rebecca L Peters</a>, <a>Christina K Rapp</a>, <a>Ana M Rath</a>, <a>Shahmir A Rind</a>, <a>Avi Z Rosenberg</a>, <a>Michael M Segal</a>, <a>Markus G Seidel</a>, <a>Damian Smedley</a>, <a>Tomer Talmy</a>, <a>Yarlalu Thomas</a>, <a>Samuel A Wiafe</a>, <a>Julie Xian</a>, <a>Zafer Yüksel</a>, <a>Ingo Helbig</a>, <a>Christopher J Mungall</a>, <a>Melissa A Haendel</a>, <a>Peter N Robinson</a></p> <p><em>Nucleic Acids Research</em>, Volume 49, Issue D1, 8 January 2021, Pages D1207–D1217, <a href="https://doi.org/10.1093/nar/gkaa1043">https://doi.org/10.1093/nar/gkaa1043</a></p> <p><strong>Human Phenotype Ontology downloads</strong> <strong>page:</strong> https://hpo.jax.org/app/data/ontology</p> <p><strong>U-BRITE last update: </strong>7/6/23</p> <p> </p>
A new genomic resource to enable standardized surveys of SNPs across the native range of brook trout (Salvelinus fontinalis)
<p>Understanding how genetic diversity is distributed across spatiotemporal scales in species of conservation or management concern is critical for identifying large-scale mechanisms affecting local conservation status and implementing large-scale biodiversity monitoring programs. However, cross-scale surveys of genetic diversity are often impractical within single studies, and combining datasets to increase spatiotemporal coverage is frequently impeded by using different sets of molecular markers. Recently developed molecular tools make surveys based on standardized SNP panels more feasible than ever but require existing genomic information. Here, we demonstrate the utility of genome-wide SNPs reflective of range-wide genetic diversity for surveying populations across the native species range. These data can be leveraged to design SNP panels that allow datasets to be combined for large-scale analyses. We develop this resource for brook trout (<em>Salvelinus fontinalis</em>). We performed restriction site-associated DNA sequencing for wild brook trout from 82 locations spanning much of the native range and domestic brook trout from 24 hatchery strains used in stocking efforts. We identified over 24,000 SNPs putatively representing neutral and adaptive regions of the brook trout genome. We explored the ability of these SNPs to resolve relationships across spatial scales, including population structure, hatchery admixture, and outlier loci. Our dataset captures a wide spectrum of genetic diversity in native brook trout, offering a valuable resource for developing SNP panels. We highlight potential applications of this resource with the goal of increasing the integration of genomic information into decision-making for brook trout and other species of conservation or management concern.</p>
A4D standardized diagnostics software and technical reports
<p>This zenodo repo contains version 1.0 of the CCCma/A4D standard diagnostic package, which is a package that compares model simulations with observations. It is built on top of ESMValtool, using an in-house python routine. Code and documentation are in zenodo_A4D_software.tar.</p> <p>In addition, this repo contains reports of the CanESM5.0-p2, CanESM5.1-p1 and CanESM5.1-p2 climates and the comparison to observations, which were produced with version 1.0 of the CCCma/A4D standard diagnostic package (details see below). These reports will be updated with new diagnostics and future model versions, and made available at https://gitlab.com/cccma/canesm/-/wikis/home . </p> <p>The data used to generate the plots used in <a href="https://gmd.copernicus.org/preprints/gmd-2023-52/">Sigmond et al. (2023)</a> is not part of this repository. It is available from the ESGF as described in the ``Code and data availability'' of the paper.</p> <p><strong>REPORTS IN THIS REPO:</strong></p> <p><strong>Comparisons of the historical simulations with selected observations and analyses:</strong></p> <p>v1.0_CanESM5.0_p2_hist_vs_obs.pdf</p> <p>v1.0_CanESM5.1_p1_hist_vs_obs.pdf</p> <p>v1.0_CanESM5.1_p2_hist_vs_obs.pdf</p> <p><strong>Comparisons of preindustrial control simulations:</strong></p> <p>v1.0_CanESM5.1-p1_vs_CanESM5.0-p2_piControl.pdf</p> <p>v1.0_CanESM5.1-p2_vs_CanESM5.1-p1_piControl.pdf</p> <p><strong>Equilibrium Climate Sensitivity:</strong></p> <p>v1.0_CanESM5.0_p2_ECS.pdf</p> <p>v1.0_CanESM5.1_p1_ECS.pdf</p> <p>v1.0_CanESM5.1_p2_ECS.pdf</p>
Standardized Soil Moisture Anomaly Data
<p>Standardized soil moisture anomaly data for publicly available soil moisture data. Code used to generate these data can be found at: 10.5281/zenodo.8247894</p>
Standard Axe
standard axe, feel free to download! Source: Objaverse 1.0 / Sketchfab
Linezolid Plus Standard of Care
ClinicalTrials.gov study NCT06958835. IPD Sharing: YES. Countries: 1. Publications: 0.
Coaxial Drainage Versus Standard Chest Tube After Pulmonary Lobectomy
ClinicalTrials.gov study NCT04877925. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
High Definition Endoscopy and Virtual Chromoendoscopy Versus Standard Resolution Endoscopy in Detection of Colon Polyps
ClinicalTrials.gov study NCT03243669. IPD Sharing: NO. Countries: 1. Publications: 2.
Evaluation of Near Visual Acuity With ODYSIGHT, a Smartphone Based Medical App in Comparison to a Standardized Method
ClinicalTrials.gov study NCT03457441. IPD Sharing: NO. Countries: 1. Publications: 1.
Whether Transperineal Prostate Biopsy Under Local-anaesthesia Using a Transperineal-access System is Non-inferior to Standard Transrectal Biopsy to Detect Prostate Cancer in Biopsy-naïve Men
ClinicalTrials.gov study NCT04108871. IPD Sharing: Not stated. Countries: 1. Publications: 8.
Olanzapine Plus Fosaprepitant Standard Antiemetic Therapy in the Prevention of Chemotherapy-induced Nausea and Vomiting in Patients Receiving High Emetic Risk Multi-day Chemotherapy: a Multicenter, Ra
ClinicalTrials.gov study NCT04536558. IPD Sharing: NO. Countries: 1. Publications: 1.
Hypofractionation With Simultaneous Integrated Boost vs. Standard Fractionation in Early Breast Cancer
ClinicalTrials.gov study NCT02474641. IPD Sharing: Not stated. Countries: 1. Publications: 1.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.